TuST: from Raw Data to Vehicular Traffic Simulation in Turin won the Best Paper Award for the conference IEEE/ACM DS-RT2019
Marco Rapelli ‘s paper titled “TuST: from Raw Data to Vehicular Traffic Simulation in Turin” won the Best Paper Award for the conference IEEE/ACM DS-RT2019. The paper, whose abstract is shown below, was presented on October 7th at University of Calabria, Rende (CS), Italy for the 23th International Symposium on Distributed Simulation and Real Time Applications.
Traffic simulations are becoming a standard way to study urban mobility patterns, to evaluate new traffic policies and to test modern vehicular technologies. For this reason, in recent years, mobility projects pushed towards an increase in the demand of traffic simulators and towards an extension of their area of investigation, aiming at covering a whole city and its suburbs. In this paper we describe the methodology we followed in the creation of a large-scale traffic simulation of a 400-Km2 area around the Municipality of Turin. Our preliminary results demonstrate that a complete modeling of such a wide tool is possible at the expense of minor simplifications.
Marco Rapelli is a PhD candidate in Electrical, Electronics and Communications Engineering working in the FutureUrban Legacy Lab. His research context is about simulations of traffic urban mobility and he collaborates in the UMOBI project for the feasibility study of the new Limited Traffic Zone (ZTL) of Turin.